Fuzzy logic is extension of Crisp set with an extension of handling the concept of Partial Truth.
a) True
b) False
Fuzzy logic is usually represented as a) IF-THEN-ELSE rules b) IF-THEN rules c) Both a & b d) None of the mentioned
____________ are algorithms that learn from their more complex environments (hence eco) to generalize, approximate and simplify solution logic. a) Fuzzy Relational DB b) Ecorithms c) Fuzzy Set d) None of the mentioned
What does the Bayesian network provides? a) Complete description of the domain b) Partial description of the domain c) Complete description of the problem d) None of the mentioned
Fuzzy logic is extension of Crisp set with an extension of handling the concept of Partial Truth. a) True b) False
The truth values of traditional set theory is ____________ and that of fuzzy set is __________ a) Either 0 or 1, between 0 & 1 b) Between 0 & 1, either 0 or 1 c) Between 0 & 1, between 0 & 1 d) Either 0 or 1, either 0 or 1
What is the consequence between a node and its predecessors while creating Bayesian network? a) Conditionally dependent b) Dependent c) Conditionally independent d) Both a & b
Which of the following is used for probability theory sentences? a) Conditional logic b) Logic c) Extension of propositional logic d) None of the mentioned
How many types of random variables are available? a) 1 b) 2 c) 3 d) 4
Where do we implement artificial intelligence fuzzy logic?
What are disadvantages of fuzzy logic systems?
What is Fuzzy Logic? Where do You implement it?
3 Answers iGate, T3 Softwares,
What is meant by probability density function? a) Probability distributions b) Continuous variable c) Discrete variable d) Probability distributions for Continuous variables